Triple
T3544388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ngäbe |
E74959
|
entity |
| Predicate | legalStatusInPanama |
P48794
|
FINISHED |
| Object | Indigenous comarca people |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Indigenous comarca people | Statement: [Ngäbe, legalStatusInPanama, Indigenous comarca people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalStatusInPanama Context triple: [Ngäbe, legalStatusInPanama, Indigenous comarca people]
-
A.
politicalStatusInPanama
Indicates the political role, recognition, or standing that an entity holds within the political system or context of Panama.
-
B.
statusInPeru
Indicates the legal, social, or operational condition or standing that something or someone has within the context of Peru.
-
C.
legalStatusAtArrival
Indicates the legal status or classification an entity held at the time it first arrived at a particular place or jurisdiction.
-
D.
statusInEcuador
Indicates the legal, social, or official condition or standing that an entity has within the context of Ecuador.
-
E.
legalStatusOfCuba
Indicates the legal or diplomatic status that an entity or action has specifically in relation to Cuba.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbf76c5b08190b898d31b80a3a350 |
completed | March 8, 2026, 6:27 p.m. |
| PD | Predicate disambiguation | batch_69adae15749881909b847c6ca73c934e |
completed | March 8, 2026, 5:12 p.m. |
| PDg | Predicate description generation | batch_69adb0a11a1c8190baa8c0eb87ad259a |
completed | March 8, 2026, 5:23 p.m. |
Created at: March 8, 2026, 3:20 p.m.